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Associations of Body Mass Index with Demographics, Lifestyle, Food Intake, and Mental Health among Postpartum Women: A Structural Equation Approach

Author

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  • Hashem Salarzadeh Jenatabadi

    (Department of Science and Technology Studies, Faculty of Science, University of Malaya, Kuala Lumpur 50603, Malaysia)

  • Che Wan Jasimah Bt Wan Mohamed Radzi

    (Department of Science and Technology Studies, Faculty of Science, University of Malaya, Kuala Lumpur 50603, Malaysia)

  • Nadia Samsudin

    (Department of Science and Technology Studies, Faculty of Science, University of Malaya, Kuala Lumpur 50603, Malaysia)

Abstract

As postpartum obesity is becoming a global public health challenge, there is a need to apply postpartum obesity modeling to determine the indicators of postpartum obesity using an appropriate statistical technique. This research comprised two phases, namely: (i) development of a previously created postpartum obesity modeling; (ii) construction of a statistical comparison model and introduction of a better estimator for the research framework. The research model displayed the associations and interactions between the variables that were analyzed using the Structural Equation Modeling (SEM) method to determine the body mass index (BMI) levels related to postpartum obesity. The most significant correlations obtained were between BMI and other substantial variables in the SEM analysis. The research framework included two categories of data related to postpartum women: living in urban and rural areas in Iran. The SEM output with the Bayesian estimator was 81.1%, with variations in the postpartum women’s BMI, which is related to their demographics, lifestyle, food intake, and mental health. Meanwhile, the variation based on SEM with partial least squares estimator was equal to 70.2%, and SEM with a maximum likelihood estimator was equal to 76.8%. On the other hand, the output of the root mean square error (RMSE), mean absolute error (MSE) and mean absolute percentage error (MPE) for the Bayesian estimator is lower than the maximum likelihood and partial least square estimators. Thus, the predicted values of the SEM with Bayesian estimator are closer to the observed value compared to maximum likelihood and partial least square. In conclusion, the higher values of R-square and lower values of MPE, RMSE, and MSE will produce better goodness of fit for SEM with Bayesian estimators.

Suggested Citation

  • Hashem Salarzadeh Jenatabadi & Che Wan Jasimah Bt Wan Mohamed Radzi & Nadia Samsudin, 2020. "Associations of Body Mass Index with Demographics, Lifestyle, Food Intake, and Mental Health among Postpartum Women: A Structural Equation Approach," IJERPH, MDPI, vol. 17(14), pages 1-24, July.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:14:p:5201-:d:386514
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    References listed on IDEAS

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    1. Ruth S.M. Chan & Jean Woo, 2010. "Prevention of Overweight and Obesity: How Effective is the Current Public Health Approach," IJERPH, MDPI, vol. 7(3), pages 1-19, February.
    2. Boardman, Jason D, 2004. "Stress and physical health: the role of neighborhoods as mediating and moderating mechanisms," Social Science & Medicine, Elsevier, vol. 58(12), pages 2473-2483, June.
    3. Datis Khajeheian & Amir Mohammad Colabi & Nordiana Binti Ahmad Kharman Shah & Che Wan Jasimah Bt Wan Mohamed Radzi & Hashem Salarzadeh Jenatabadi, 2018. "Effect of Social Media on Child Obesity: Application of Structural Equation Modeling with the Taguchi Method," IJERPH, MDPI, vol. 15(7), pages 1-22, June.
    4. Ferra Yanuar & Kamarulzaman Ibrahim & Abdul Aziz Jemain, 2013. "Bayesian structural equation modeling for the health index," Journal of Applied Statistics, Taylor & Francis Journals, vol. 40(6), pages 1254-1269, June.
    5. Carolyn E. Ievers-Landis & Carly Dykstra & Naveen Uli & Mary Ann O’Riordan, 2019. "Weight-Related Teasing of Adolescents Who Are Primarily Obese: Roles of Sociocultural Attitudes Towards Appearance and Physical Activity Self-Efficacy," IJERPH, MDPI, vol. 16(9), pages 1-16, April.
    6. Che Wan Jasimah Wan Mohamed Radzi & Hashem Salarzadeh Jenatabadi & Ayed R. A. Alanzi & Mohd Istajib Mokhtar & Mohd Zufri Mamat & Nor Aishah Abdullah, 2019. "Analysis of Obesity among Malaysian University Students: A Combination Study with the Application of Bayesian Structural Equation Modelling and Pearson Correlation," IJERPH, MDPI, vol. 16(3), pages 1-17, February.
    7. Hashem Salarzadeh Jenatabadi & Sedigheh Moghavvemi & Che Wan Jasimah Bt Wan Mohamed Radzi & Parastoo Babashamsi & Mohammad Arashi, 2017. "Testing students’ e-learning via Facebook through Bayesian structural equation modeling," PLOS ONE, Public Library of Science, vol. 12(9), pages 1-19, September.
    8. Hyeain Lee & Rosemary Ahn & Tae Hyun Kim & Euna Han, 2019. "Impact of Obesity on Employment and Wages among Young Adults: Observational Study with Panel Data," IJERPH, MDPI, vol. 16(1), pages 1-12, January.
    9. Hui Huang & Che Wan Jasimah bt Wan Mohamed Radzi & Hashem Salarzadeh Jenatabadi, 2017. "Family Environment and Childhood Obesity: A New Framework with Structural Equation Modeling," IJERPH, MDPI, vol. 14(2), pages 1-20, February.
    10. Mi-Jung Eum & Hye-Sun Jung, 2020. "Association between Occupational Characteristics and Overweight and Obesity among Working Korean Women: The 2010–2015 Korea National Health and Nutrition Examination Survey," IJERPH, MDPI, vol. 17(5), pages 1-13, February.
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